The Future of the Life Science and Healthcare Industry through Big Data Management and Utilization.
The future of the Life Science and Healthcare industry lies in the management and valorization of Big Data. Thanks to Big Data, medicine will become increasingly personalized and preventive (anticipating and preventing the onset of diseases rather than intervening after the fact). Moreover, companies will be more efficient in developing new drugs, healthcare providers will have access to broader and more shared databases within a collaborative medicine framework, and clinical trials and the development of new medical products will see a drastic acceleration in research times and precision, along with a significant reduction in costs.
In short, the “Big Data” issue encapsulates enormous benefits for all industry stakeholders: companies, healthcare providers (private entities, national public and private systems, universities, research laboratories, biomedical technology innovation), and patients.
Big Data Management
When it comes to healthcare data, companies and laboratories must handle all the critical issues related to its collection, management, and valorization.
On one side, there are critical issues related to trust in the use of data processed through Artificial Intelligence and Machine Learning systems, especially for predictive and prescriptive purposes:
- from organizations,
- from public operators and government systems,
- from private individuals (both professionals and patients).
On the other side, there are objective difficulties related to the collection and processing of the data itself:
- Privacy of sensitive data: Healthcare and pharmaceutical data require high levels of security to ensure the confidentiality of patient and company data;
- Regulations and standards at national and international levels: fundamental in terms of information sharing (discussed in our article on Data Governance in the Life Science sector);
- Data quality: Data from the Healthcare sector presents a degree of complexity and heterogeneity that can generate errors and distortions. Therefore, quality control tests are conducted at multiple levels, following a continuous integration and distribution logic (hence the success of the DataOps methodology in this specific sector);
- Complexity of integrating data from different and often “unconventional” sources: this remains a technical and organizational challenge even for companies that already adopt BI solutions.
Big Data Interconnection
Managing these and many other aspects requires a strategic approach based on the sharing and interconnection of not only data but also skills and resources.
The most innovative projects involve creating teams dedicated to Big Data management: in the Life Science sector, it becomes essential to integrate skills in data science, statistics, bioinformatics, chemistry, molecular biology, etc.
From a technological perspective, it is necessary to invest in flexible and scalable IT solutions and infrastructures capable of enabling efficient Big Data management: Data Lakes, Data Warehouses, Advanced Analytics solutions based on Artificial Intelligence systems, and Machine Learning models.
As in all research areas, the results are influenced by the possibility and speed with which information from different projects is exchanged. Collaboration with external partners (universities and tech start-ups) becomes the fundamental asset for acquiring specialized skills, enriching initial data sets, and opening new scenarios in both business and clinical application fields.
The Future of Healthcare between Business and Clinical Research
Therefore, besides the development of new drugs and clinical trials, all companies involved in diagnostic tools, medical devices, health foods, and supplements need to integrate Business Intelligence and Advanced Analytics solutions capable of leveraging their data assets.
At Blue BI, we have the technical and scientific expertise to manage the complexity of data and business processes typical of the Life Science & Pharma sector. Our knowledge of the sector and extensive experience in Clinical Trials enable us to manage solutions that comply with privacy regulations and the highest security standards. Our ongoing commitment to innovative strategies leads us to develop advanced and cutting-edge solutions.
The BBI x Clinical Trials solution is an advanced, ready-to-use Business Intelligence tool for the efficient management of clinical trials, flexible and scalable, capable of adapting to the needs of each client.
We realize Business Intelligence & Advanced Analytics solutions to transform simple data into information of freat strategic value.
